CircularRegression
Circular Regression Models
Implements regression models for circular response data, including homogeneous angular regression, consensus angular regression, a two-step workflow, selected special-case model wrappers, and a random-intercept extension for clustered circular outcomes. The main methodology follows Rivest et al. (2016) "A General Angular Regression Model for the Analysis of Data on Animal Movement in Ecology" <doi:10.1111/rssc.12124>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.1 |
rolling linux/jammy R-4.5 | CircularRegression_0.5.1.tar.gz |
752.2 KiB |
0.5.1 |
rolling linux/noble R-4.5 | CircularRegression_0.5.1.tar.gz |
752.2 KiB |
0.5.1 |
rolling source/ R- | CircularRegression_0.5.1.tar.gz |
541.0 KiB |
0.5.1 |
latest linux/jammy R-4.5 | CircularRegression_0.5.1.tar.gz |
752.2 KiB |
0.5.1 |
latest linux/noble R-4.5 | CircularRegression_0.5.1.tar.gz |
752.2 KiB |
0.5.1 |
latest source/ R- | CircularRegression_0.5.1.tar.gz |
541.0 KiB |
0.5.1 |
2026-04-23 source/ R- | CircularRegression_0.5.1.tar.gz |
0 B |